Evidence map›Paper›PMID 30049385›Full record

ArticleEBioMedicine2018

Engineered Kidney Tubules for Modeling Patient-Specific Diseases and Drug Discovery.

Valentina Benedetti, Valerio Brizi, Patrizia Guida, Susanna Tomasoni, Osele Ciampi, Elena Angeli, Ugo Valbusa, Ariela Benigni, Giuseppe Remuzzi, Christodoulos Xinaris

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Kidney organoids in translational medicine: Disease modeling and regenerative medicine.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Review
  14. Article
  15. Growing a new human kidney.Kidney international · 2019
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Valentina BenedettiIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy.
Valerio BriziIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy.
Patrizia GuidaNanomed Laboratories, Dipartimento di Fisica, Università di Genova, 16146 Genova, Italy.
Susanna TomasoniIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy.
Osele CiampiIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy.
Elena AngeliNanomed Laboratories, Dipartimento di Fisica, Università di Genova, 16146 Genova, Italy.
Ugo ValbusaNanomed Laboratories, Dipartimento di Fisica, Università di Genova, 16146 Genova, Italy.
Ariela BenigniIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy.
Giuseppe RemuzziIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy; 'L. Sacco' Department of Biomedical and Clinical Sciences, University of Milan, 20157 Milan, Italy; Unit of Nephrology and Dialysis, Azienda Socio-Sanitaria Territoriale (ASST) Papa Giovanni XXIII, 24127 Bergamo, Italy.
Christodoulos XinarisIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Science and Technology Park Kilometro Rosso, 24126 Bergamo, Italy. Electronic address: christodoulos.xinaris@marionegri.it.
Mario Negri Institute for Pharmacological Research · ITUniversity of Genoa · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of engineering systems able to faithfully reproduce complex kidney structures in vitro has made it difficult to efficiently model kidney diseases and development. Using polydimethylsiloxane (PDMS) scaffolds and a kidney-derived cell line we developed a system to rapidly engineer custom-made 3D tubules with typical renal epithelial properties. This system was successfully employed to engineer patient-specific tubules, to model polycystic kidney disease (PKD) and test drug efficacy, and to identify a potential new pharmacological treatment. By optimizing our system we constructed functional ureteric bud (UB)-like tubules from human induced pluripotent stem cells (iPSCs), and identified a combination of growth factors that induces budding morphogenesis like embryonic kidneys do. Finally, we applied this assay to investigate budding defects in UB-like tubules derived from a patient with a PAX2 mutation. Our system enables the modeling of human kidney disease and development, drug testing and discovery, and lays the groundwork for engineering anatomically correct kidney tissues in vitro and developing personalized medicine applications.

Indexed as

AnimalsCell DifferentiationDogsDrug DiscoveryDrug Evaluation, PreclinicalHumansInduced Pluripotent Stem CellsKidney TubulesMadin Darby Canine Kidney CellsModels, BiologicalMutationOrgan Culture TechniquesPAX2 Transcription FactorPolycystic Kidney DiseasesPrecision MedicineTissue ScaffoldsPAX2 protein, humanPAX2 Transcription FactorDrug discoveryHuman pluripotent stem cellsPAX2Polycystic kidney diseaseTubule engineeringUreteric bud

Identifiers

PMID30049385
PMCPMC6085557
OpenAlexW2809988731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.